Hanzi Mao I am a research scientist at Nvidia Deep Imagination Research. Before that I was a research scientist at Fundamental AI Research (FAIR), Meta. I obtained my Ph.D. in Computer Science from Texas A&M University, under the supervision of Nick Duffield. Email / Google Scholar / Github / LinkedIn / Twitter

‪Research Scientist, Nvidia‬ - ‪‪Cited by 19,014‬‬ - ‪Deep Learning‬ - ‪Computer Vision‬

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Jan 10, 2022 · In this work, we reexamine the design spaces and test the limits of what a pure ConvNet can achieve. We gradually "modernize" a standard ResNet toward the design of a vision Transformer, and discover several key components that contribute to …

Apr 5, 2023 · We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation. Using our efficient model in a data collection loop, we built the largest segmentation dataset to date (by far), with over 1 billion masks on 11M licensed and privacy respecting images.

Hanzi MAO | Cited by 2,272 | of Texas A&M University, Texas (TAMU) | Read 11 publications | Contact Hanzi MAO

Mar 30, 2022 · We explore the plain, non-hierarchical Vision Transformer (ViT) as a backbone network for object detection. This design enables the original ViT architecture to be fine-tuned for object detection without needing to redesign a hierarchical backbone for pre-training.

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